<The >Use of logistic and ordinal regression for the prediction of the Phadiatop Test results

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00843989%3A_____%2F13%3AE0103747" target="_blank" >RIV/00843989:_____/13:E0103747 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/13:86087932

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

<The >Use of logistic and ordinal regression for the prediction of the Phadiatop Test results

Popis výsledku v původním jazyce

This paper presents the use of logistic and ordinal regressions for predicting the classification of patients into the Phadiatop test groups. Our data come from patients who underwent Phadiatop test examinations in the University Hospital of Ostrava, theClinic of Occupation and Preventive Medicine. Two databases were available for the research giving the records about family and personal anamnesis of each patient. These anamnesis were selected and appropriately rated as predictive variables for discriminant analysis. These data were obtained by an evaluation of the atopy score. Moreover, both of these anamnesis were divided into four categories according to the severity ranked by the doctors (asthma, allergic rhinitis, eczema and others). Logistic regression with independent variables was used for the personal anamnesis in the older database. The model was tested using a medical database of 1027 clients in the first case and 1132 clients in the second case. In the newer database, comp

Název v anglickém jazyce

<The >Use of logistic and ordinal regression for the prediction of the Phadiatop Test results

Popis výsledku anglicky

This paper presents the use of logistic and ordinal regressions for predicting the classification of patients into the Phadiatop test groups. Our data come from patients who underwent Phadiatop test examinations in the University Hospital of Ostrava, theClinic of Occupation and Preventive Medicine. Two databases were available for the research giving the records about family and personal anamnesis of each patient. These anamnesis were selected and appropriately rated as predictive variables for discriminant analysis. These data were obtained by an evaluation of the atopy score. Moreover, both of these anamnesis were divided into four categories according to the severity ranked by the doctors (asthma, allergic rhinitis, eczema and others). Logistic regression with independent variables was used for the personal anamnesis in the older database. The model was tested using a medical database of 1027 clients in the first case and 1132 clients in the second case. In the newer database, comp

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

9th International Conference on Digital Technologies

ISBN

978-1-4799-0924-7

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

"P. 111-115"

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Žilina, Slovakia

Datum konání akce

29. 5. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000326472900022